Instructions to use yujiepan/tiny-random-SwinModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/tiny-random-SwinModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="yujiepan/tiny-random-SwinModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("yujiepan/tiny-random-SwinModel") model = AutoModel.from_pretrained("yujiepan/tiny-random-SwinModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
5a4b7f5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e7d52a6c856f416ad106777a179444dcfdf59ed84a698054a3ac4808c89e1ad4
size 283437
|